Claude Code triages GoHighLevel leads before sending
Dove reports a daily Claude Code command that reads lead intake answers, ranks and routes GoHighLevel opportunities, drafts outreach and sends only on his explicit approval.
Original prompt
Shared by the source author. See source notes for context.
List my GoHighLevel pipelines and how many opportunities are in each stage.
Reach people exploring AI agents
See placements →Evidence at a glance
Sourced account- Source author
- Charles J Dove
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- Dove reports a daily Claude Code command that reads lead intake answers, ranks and routes GoHighLevel opportunities, drafts outreach and sends only on his explicit approval.
- Human involvement
- Dove approves each send after seeing the draft. Revenue figures are his reports, and the MCP does not build GoHighLevel funnels or workflow configurations.
A linked account supports attribution. It does not mean we independently reproduced its result.
Report an issue with this case
Open correction emailOpens your email app with the case link included. Nothing is sent automatically.
How the agent did it
- Connect Claude Code to the intended GoHighLevel location.
- Read original intake answers and rank new opportunities with reasons.
- Inspect replies and draft the appropriate next message.
Charles J Dove connects Claude Code to GoHighLevel through an MCP server and uses a daily command to review his inbound sales pipeline. The agent reads each new lead's original intake response, assigns a preliminary quality assessment and presents a ranked summary with the routing reason.
High-fit business owners enter a personal-outreach queue; other genuine prospects receive lighter treatment. Already-contacted opportunities are checked for replies and follow-up drafts, while closed records are filed to keep the pipeline state clear. For an email he chooses to send, the agent applies subject-line, copywriting and voice-refinement skills, includes the booking link and shows him the draft. It sends only after an explicit yes, then moves the opportunity forward.
Dove distinguishes ordinary deterministic CRM routing from the agent's judgment and writing layer. The MCP does not create GoHighLevel funnels or workflow-builder configurations for him. His revenue and tool-call figures are personal reports, without an independently attributed sales comparison, so this entry's outcome is the deployed triage-and-approved-send workflow. The useful detail is retaining the prospect's actual answer rather than a summary at the scoring stage, and making an affirmative send decision a separate step after the draft is visible.
Prompt
Original prompt
Source: Blog · Charles J Dove
Frequently asked questions
Why retain the original intake answer?
Dove treats the prospect’s verbatim answer as the most important signal when assessing fit.
What authorises a send?
An explicit yes after the agent shows the draft; draft-first is one of the author’s stated rules.
Can this MCP build GoHighLevel funnels?
The source says it cannot build funnels, sites or workflow-builder configurations; those require separate work.
More details
Remaining steps
- Show the personalised draft and wait for an explicit yes.
- Send the approved message and update the opportunity stage.
About this account
Claude Code researches the live CRM state, scores and routes opportunities, drafts context-specific outreach and executes authorised sends and stage updates.
Firsthand account by Charles J Dove; original publication date verified against Primary blog June 5, 2026. Outcomes are the author’s reports, not independently reproduced. Original read-only integration-check instruction; the daily pipeline command and full send skills are not reproduced.
Credit: Charles J Dove
Source published
Added to Agents In Use
Source checked
Tools and topics
Claude Code · GoHighLevel MCP · CRM opportunities · Copywriting skills
Inbound lead triage · Approved CRM sends · Original intake evidence
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.